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SENIOR DATA ENGINEER

£65,000-£70,000 + BENEFITS

PRIMARILY REMOTE

A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.

THE COMPANY:

This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.

THE ROLE:

A Data Engineer will need to:

• Work closely with stakeholders across the business
• Manage data warehouse end-to-end (gathering requirements and building solutions)
• Helping to build data models

YOUR SKILLS AND EXPERIENCE:

A successful Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with Azure/ADF
• Background in CI/CD

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Lead Machine Learning Engineer – LLM Focus

Location: Minneapolis

Salary: $150,000 – $180,000 base + 20% Bonus

Company Overview:

Join a fast-growing, innovative organization at the forefront of artificial intelligence, committed to pushing boundaries in generative AI and Large Language Models (LLMs). We’re solving cutting-edge problems with scalable machine learning and deploying solutions across industries, from finance to healthcare to enterprise automation.

Role Overview:

We are seeking a Machine Learning Engineering Manager with deep expertise in LLMs and production-grade ML systems. This is a hands-on leadership role where you’ll oversee a team of up to 10 Machine Learning Engineers, while also contributing technically to high-impact AI solutions.

You’ll shape the roadmap for LLM initiatives, drive team performance, ensure technical excellence, and align engineering efforts with business objectives. This role combines engineering leadership, cross-functional collaboration, and strategic execution in a fast-paced environment.

Key Responsibilities:

• Lead and manage a team of up to 10 Machine Learning Engineers, providing mentorship, performance reviews, and career development guidance.
• Define and drive the engineering roadmap for LLM-based solutions and scalable ML systems.
• Collaborate with research, product, and data teams to align technical execution with strategic business needs.
• Guide development of ML/LLM solutions for tasks like summarization, classification, Q&A, and retrieval-augmented generation (RAG).
• Oversee implementation and optimization of transformer models (e.g., GPT, LLaMA, Claude, Mistral).
• Ensure best practices in model training, fine-tuning, evaluation, and deployment.
• Build robust ML pipelines with MLFlow, Airflow, or Kubeflow.
• Manage production deployments using Docker, Kubernetes, and serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI).
• Lead efforts in CI/CD, monitoring, versioning, and model drift mitigation.
• Promote a high-performing, collaborative team culture and drive continuous learning and innovation.

Required Qualifications:

• MSc or PhD in Computer Science, Machine Learning, Engineering, or a related STEM discipline.
• 2+ years of experience managing and mentoring ML Engineers or cross-functional ML teams.
• Proven expertise in LLMs and transformer-based architectures (e.g., GPT, BERT, RoBERTa, T5).
• Strong production experience with ML/AI model development, deployment, and lifecycle management.
• Advanced Python skills and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
• Proficiency with cloud platforms (AWS preferred), Kubernetes, and distributed systems (e.g., Spark, Kafka).
• Solid understanding of DevOps practices and CI/CD pipelines for machine learning.
• Exceptional communication and leadership skills; able to bridge technical and business discussions effectively.

Preferred Experience:

• Experience building and scaling retrieval-augmented generation (RAG) pipelines.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and frameworks like LangChain or LlamaIndex.
• Knowledge of RLHF, prompt engineering, and generative model evaluation.
• Experience in regulated or high-security environments is a strong plus.

Compensation and Benefits:

• Base Salary: $150,000 – $180,000
• 20% Annual Bonus
• Flexible hybrid work setup
• Comprehensive benefits package (health, dental, vision)
• Annual learning & development budget, including AI/ML conference attendance

How to Apply:

To express your interest in this opportunity, please submit your CV via the “Apply” link on this page. We look forward to connecting with you!

To Apply for this Job Click Here

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Director of Applied AI – GenAI, NLP, and Intelligent Automation

Location: Remote – US Based

Compensation: $200,000 – $215,000 base + bonus

ABOUT THE COMPANY

We’re partnered with a fast-scaling consumer tech business undergoing a digital transformation, with executive-level buy-in for AI initiatives. The company is focused on deploying cutting-edge Generative AI to transform internal operations, client engagement, and revenue-driving functions.

They’re now hiring a Director of Applied AI to lead strategy and delivery across intelligent agents, GenAI search assistants, document AI, and productivity tools. This is a rare opportunity for a hands-on AI leader to shape and scale a newly built function with real-world business impact.

THE ROLE

Reporting into the VP of Data & AI, you’ll own the roadmap, vendor strategy, and technical execution for applied AI across the enterprise. You’ll manage a small but growing team and be responsible for building the playbook for responsible, scalable AI implementation.

Key Responsibilities:

• Define and lead the Applied AI strategy across sales, customer support, employee productivity, and analytics.
• Deliver solutions including:
• GenAI-powered digital and voice agents
• RAG + LLM-based internal knowledge assistants
• OCR and intelligent document processing
• AI-powered insights and summarization
• Evaluate and integrate AI vendor solutions, prioritizing “buy over build.”
• Partner cross-functionally with Product, Engineering, and Operations to translate business needs into scalable AI capabilities.
• Oversee prototyping, technical evaluation, and deployment of third-party AI tools.
• Build and maintain execution roadmaps, business alignment, and governance standards.
• Stay current on GenAI trends, vendor landscape, and tools to evolve strategy over time.

YOUR SKILLS AND EXPERIENCE

• 6-10+ years in Data Science / ML / Applied AI, with 2+ years in a leadership role.
• Strong hands-on experience with Python, GenAI APIs, LLM frameworks, and vector databases.
• Proven delivery of production-grade digital or voice AI agents.
• Deep understanding of prompt engineering, RAG pipelines, and LLM deployment.
• Familiarity with Salesforce workflows, voice AI for telephony platforms, and enterprise SaaS procurement.
• Strong business judgment and stakeholder communication skills.
• Prior experience working in regulated or high-volume environments (e.g., financial services, healthcare, B2C platforms).
• Exposure to enterprise ML platforms (e.g., Snowflake, DataRobot) is a plus.

THE BENEFITS

• Executive-Level Compensation: $200,000-$215,000 base + bonus
• Remote-First Environment
• Growth Opportunity: Lead and grow a foundational AI function with direct business impact
• Full Benefits Package: Healthcare, 401(k) (9%), PTO, and additional wellness perks

HOW TO APPLY

Submit your resume to Luc Simpson-Kent via the Apply link. We’re excited to connect with hands-on AI leaders ready to own and scale GenAI innovation across a dynamic enterprise.

To Apply for this Job Click Here

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Applied NLP/LLM Scientist/Researcher

Location: New York – (On-site)

Compensation: $160,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $160,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: New York

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Lead Machine Learning Engineer – LLM Focus

Location: Toronto

Salary: $150,000 – $180,000 base + 20% Bonus

Company Overview:

Join a fast-growing, innovative organization at the forefront of artificial intelligence, committed to pushing boundaries in generative AI and Large Language Models (LLMs). We’re solving cutting-edge problems with scalable machine learning and deploying solutions across industries, from finance to healthcare to enterprise automation.

Role Overview:

We are seeking a Machine Learning Engineering Manager with deep expertise in LLMs and production-grade ML systems. This is a hands-on leadership role where you’ll oversee a team of up to 10 Machine Learning Engineers, while also contributing technically to high-impact AI solutions.

You’ll shape the roadmap for LLM initiatives, drive team performance, ensure technical excellence, and align engineering efforts with business objectives. This role combines engineering leadership, cross-functional collaboration, and strategic execution in a fast-paced environment.

Key Responsibilities:

• Lead and manage a team of up to 10 Machine Learning Engineers, providing mentorship, performance reviews, and career development guidance.
• Define and drive the engineering roadmap for LLM-based solutions and scalable ML systems.
• Collaborate with research, product, and data teams to align technical execution with strategic business needs.
• Guide development of ML/LLM solutions for tasks like summarization, classification, Q&A, and retrieval-augmented generation (RAG).
• Oversee implementation and optimization of transformer models (e.g., GPT, LLaMA, Claude, Mistral).
• Ensure best practices in model training, fine-tuning, evaluation, and deployment.
• Build robust ML pipelines with MLFlow, Airflow, or Kubeflow.
• Manage production deployments using Docker, Kubernetes, and serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI).
• Lead efforts in CI/CD, monitoring, versioning, and model drift mitigation.
• Promote a high-performing, collaborative team culture and drive continuous learning and innovation.

Required Qualifications:

• MSc or PhD in Computer Science, Machine Learning, Engineering, or a related STEM discipline.
• 2+ years of experience managing and mentoring ML Engineers or cross-functional ML teams.
• Proven expertise in LLMs and transformer-based architectures (e.g., GPT, BERT, RoBERTa, T5).
• Strong production experience with ML/AI model development, deployment, and lifecycle management.
• Advanced Python skills and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
• Proficiency with cloud platforms (AWS preferred), Kubernetes, and distributed systems (e.g., Spark, Kafka).
• Solid understanding of DevOps practices and CI/CD pipelines for machine learning.
• Exceptional communication and leadership skills; able to bridge technical and business discussions effectively.

Preferred Experience:

• Experience building and scaling retrieval-augmented generation (RAG) pipelines.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and frameworks like LangChain or LlamaIndex.
• Knowledge of RLHF, prompt engineering, and generative model evaluation.
• Experience in regulated or high-security environments is a strong plus.

Compensation and Benefits:

• Base Salary: $150,000 – $180,000
• 20% Annual Bonus
• Flexible hybrid work setup
• Comprehensive benefits package (health, dental, vision)
• Annual learning & development budget, including AI/ML conference attendance

How to Apply:

To express your interest in this opportunity, please submit your CV via the “Apply” link on this page. We look forward to connecting with you!

To Apply for this Job Click Here

To Apply for this Job Click Here

Role: Azure Senior Data Engineer

Location: Manchester, Lancashire

Hybrid working: go into office 1x day a week

Salary: £50,000 – £65,000 (dependent on experience)

Insight into the Company:

A large retail organisation – market leaders in their industry – are looking for a Senior Data Engineer to enter their team. You will be working in a small team of 3 (including you!) and they are looking to build up the team over the next year.

The ideal candidate will have experience with managing data warehouses from start to finish and liaise with IT teams regularly. The role will involve stakeholder management, working with diverse roles, such as software engineers, sales and marketing professionals and more. Therefore, communicating your projects needs and understanding others is an essential part of this role.

Role and Responsibilities:

• You will design, build and upgrade data pipelines
• You will work in CI/CD and with Software/ DevOps teams in the organisation
• You will have expertise in azure – from collecting, to transforming to loading!

Skills and Experience:

• Essential to have experience with:
  • Azure
  • SQL
  • Regular stakeholder management
  • Data warehouse management
• Desirable to have experience with:
  • Bachelors in STEM subject – ideally computer science or engineering
  • CI/CD methods
  • Python

Interview Process:

• There are 3 stages to the process:

1. Introductory conversation with the Head of Business Insights
2. In person interview, focussing on techstacks
3. Sign off conversation!

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT MANAGER – LONDON

UP TO £62,000

THE COMPANY

We are working with a high growth subscriptions business on an operations-focused PM role.

THE ROLE

The successful Product Manager responsibilities will include:

• Own the end-to-end design and delivery of operations-focused products that improve logistics, supply chain and fulfilment
• Translate business goals and data insights into clear, actionable product requirements across backend systems and supply chain platforms
• Partner cross-functionally to optimise processes, drive automation, and integrate systems that enhance speed and accuracy
• Use metrics, user feedback, and operational KPIs to assess product impact and drive continuous improvement

YOUR SKILLS AND EXPERIENCE

The successful Product Manager will have the following skills and experience

• A strong grasp of service design, API design, UX, user research, data and software development
• Sharp analytical and problem-solving skills backed by data and evidence
• Accountability for your product roadmap and deliverables

THE BENEFITS

The successful Product Manager will receive a salary of up to £62,000, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.

To Apply for this Job Click Here

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Senior Strategy Analysis Manager
Location: Central London (3 days per week in office)
Base Salary: £70,000
Company: Leading Rail Service Provider

We are seeking a Senior Strategy Analysis Manager to join a dynamic commercial strategy team within a major UK-based rail operator. This is an exciting opportunity to provide key insights into revenue analysis, business planning, and commercial reporting, working closely with the senior leadership team and stakeholders such as the Department for Transport.

Key Responsibilities:

• Lead and manage a team of 3 Analysts, overseeing analysis related to passenger demand, trends, customer behavior, pricing, and revenue protection activities.

• Provide valuable insights into forecasts, commercial models, partnerships, and revenue effectiveness to support the commercial decision-making process.

• Take the lead on the development and delivery of annual business plans, revenue insights, and monthly commercial reporting.

• Collaborate with the Revenue Management team and provide strategic data to inform decision-making.

• Lead the development of the data and analysis strategy for the Commercial department.

Ideal Candidate:

• Experience within the rail industry is preferred, but not essential.

• Solid understanding of revenue analysis and management principles.

• Strong leadership experience, with a proven track record in managing and developing a team.

• Technical proficiency in tools such as Tableau, PowerBI, and SQL.

Interview Process:

• Stage 1: 45-minute initial screen with senior leadership.

• Stage 2: A practical task summarizing a piece of price sensitivity research and presenting findings to the board in a 6-slide presentation.

If you’re looking for a strategic role with a focus on data-driven decision-making in the rail industry, apply now!

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Strategy Analyst (18-month FTC)
Location: Central London (3 days per week in office)
Base Salary: £50,000
Company: Leading Rail Service Provider

A fantastic opportunity has arisen for a Senior Strategy Analyst to join a forward-thinking commercial strategy team within a major UK-based rail operator. The role will focus on demand modelling, forecasting, and providing key customer insights to inform strategic decisions.

Key Responsibilities:

• Own and maintain demand forecasting models to predict revenue across the business, using SQL and various data sources.

• Support budgeting and forecasting activities, leveraging customer insights and demand drivers to create accurate projections.

• Work closely with the Senior Manager and Revenue Management team to refine strategies and ensure the models are up to date with the latest data.

• Provide analytical support for key business decisions, ensuring the use of best practices in rail industry demand modelling.

Ideal Candidate:

• Experience in the rail industry, particularly in demand modelling and forecasting.

• Strong technical skills in SQL, with the ability to manipulate and interpret large datasets.

• Ability to work collaboratively in a fast-paced, data-driven environment.

• Strong communication skills to present insights and findings effectively.

Interview Process:

• Stage 1: Initial 45-minute screen with senior leadership.

• Stage 2: A practical task focused on modelling, demand drivers, and data sources.

This is a great role for someone looking to grow their career in the rail industry, with the opportunity to work on high-impact projects in a strategic, data-led team.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Product Analyst
Up to £50,000 + Benefits
Oxford Circus – 4 days a week in-office (Mondays & Fridays required – no flex)

We’re hiring for a fast-growing retail group that’s investing heavily in data and digital. With a major shift to Google Cloud now complete and a centralised analytics team in place, it’s an exciting time to join.

As a Digital Product Analyst, you’ll sit within the Product Analytics team – working closely with Product Managers, Developers, and Implementation teams to understand user behaviour, site performance, and optimisation opportunities.

What you’ll be doing:

• Analysing user journeys and on-site performance

• Supporting A/B testing and experimentation

• Working with GA4 and SQL/BigQuery to build insights

• Partnering with the GTM team on tracking and data quality

• Contributing to product decisions with actionable data

What we’re looking for:

• Experience in digital or product analytics (not marketing-focused)

• GA4 or Adobe Analytics knowledge

• SQL skills and some experience with BigQuery

• Familiarity with GTM or similar tools

• Comfortable working in a fast-paced, evolving environment

You’ll join a supportive, growing team where analytics plays a key role in business decisions – with lots of opportunities to learn and grow.

Interview process:

• 30-min intro chat

• 1-hour technical interview

• Final face-to-face session with task – fast decisions

Apply now to help shape the future of digital in one of the UK’s biggest retail groups.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Digital Product Analyst
Up to £65,000 + Benefits
Oxford Circus – 4 days a week in-office (including Mondays & Fridays – no flexibility)

We’re working with a major UK retail group that’s rapidly expanding its brand portfolio and investing heavily in digital transformation. They’ve recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function.

As part of this growth, they’re hiring a Senior Digital Product Analyst to join their Product Analytics team. This is a high-impact role focusing on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio.

You’ll need:

• Proven experience in digital/product analytics – not marketing-focused

• Strong SQL & BigQuery skills

• GA4 (or Adobe Analytics) expertise

• Comfort working with GTM/implementation teams

• Some A/B testing exposure

You’ll report directly to the Analytics Lead, within a growing and well-supported data team. If you’re keen to drive change and own the end-to-end product analytics process in a fast-moving retail environment – this is for you.

Interview process:

• 30-min intro interview

• Technical screen with Analytics leadership

• Final on-site with task + key stakeholders – quick turnaround

Apply now to be part of a business that’s scaling fast, with data at the heart of its strategy.

To Apply for this Job Click Here